Fourier Neural Operator for Accurate Optical Fiber Modeling With Low Complexity-Reference-Cited by-同舟云学术

Fourier Neural Operator for Accurate Optical Fiber Modeling With Low Complexity

Published:2023-04-15 Issue:8 Volume:41 Page:2301-2311
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

He Xingchen¹^ORCID,Yan Lianshan¹^ORCID,Jiang Lin¹^ORCID,Yi Anlin¹^ORCID,Pu Zhengyu¹,Yu Youren¹,Chen Hongwei²^ORCID,Pan Wei¹,Luo Bin¹

Affiliation:

1. Center for Information Photonics and Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

2. Beijing National Research Centre for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Major Key Project of PCL, Sichuan Science and Technology Program

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/10084412/09999671.pdf?arnumber=9999671

Reference38 articles.

1. Modeling the Bit-Error-Rate Performance of Nonlinear Fiber-Optic Systems

2. Approximations of continuous functionals by neural networks with application to dynamic systems

3. Properties of nonlinear noise in long, dispersion-uncompensated fiber links

4. Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems

5. Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

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